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» Support Vector Machines for 3D Object Recognition
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SSPR
2004
Springer
15 years 5 months ago
Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
Fatih Murat Porikli
SCIA
2009
Springer
132views Image Analysis» more  SCIA 2009»
15 years 6 months ago
Instant Action Recognition
In this paper, we present an efficient system for action recognition from very short sequences. For action recognition typically appearance and/or motion information of an action ...
Thomas Mauthner, Peter M. Roth, Horst Bischof
100
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ICASSP
2008
IEEE
15 years 6 months ago
Action recognition using spatio-temporal regularity based features
In this paper, a novel feature for capturing information in a spatio-temporal volume based on regularity flow is presented for action recognition. The regularity flow describes ...
Taylor Goodhart, Pingkun Yan, Mubarak Shah
UCS
2007
Springer
15 years 6 months ago
Discriminative Temporal Smoothing for Activity Recognition from Wearable Sensors
Abstract. This paper describes daily life activity recognition using wearable acceleration sensors attached to four different parts of the human body. The experimental data set con...
Jaakko Suutala, Susanna Pirttikangas, Juha Rö...
DAS
2006
Springer
15 years 3 months ago
Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition
Abstract. This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recogniti...
Bilan Zhu, Junko Tokuno, Masaki Nakagawa